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Sensors 2013, 13(2), 2515-2529; doi:10.3390/s130202515
Article

Forgery Detection and Value Identification of Euro Banknotes

,
†,* ,
 and
Image Processing Laboratory, University of Catania, Catania 95125, Italy These authors contributed equally to this work.
* Author to whom correspondence should be addressed.
Received: 18 December 2012 / Revised: 29 January 2013 / Accepted: 4 February 2013 / Published: 18 February 2013
(This article belongs to the Section Physical Sensors)
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Abstract

This paper describes both hardware and software components to detect counterfeits of Euro banknotes. The proposed system is also able to recognize the banknote values. Differently than other state-of-the-art methods, the proposed approach makes use of banknote images acquired with a near infrared camera to perform recognition and authentication. This allows one to build a system that can effectively deal with real forgeries, which are usually not detectable with visible light. The hardware does not use any mechanical parts, so the overall system is low-cost. The proposed solution is reliable for ambient light and banknote positioning. Users should simply lean the banknote to be analyzed on a flat glass, and the system detects forgery, as well as recognizes the banknote value. The effectiveness of the proposed solution has been properly tested on a dataset composed by genuine and fake Euro banknotes provided by Italy's central bank.
Keywords: banknote recognition; counterfeit detection; image forgery banknote recognition; counterfeit detection; image forgery
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Bruna, A.; Farinella, G.M.; Guarnera, G.C.; Battiato, S. Forgery Detection and Value Identification of Euro Banknotes. Sensors 2013, 13, 2515-2529.

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